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AI Code Graph

Visualize any GitHub repository as an interactive knowledge graph. Understand code architecture, dependencies, and execution flows instantly.

AI Code Graph — Understand Any Codebase Instantly

Stop reading code line by line. AI Code Graph turns any GitHub repository into an interactive knowledge graph that shows you the complete architecture: every function, class, dependency, and execution flow — all connected and searchable.

What Can You Do?

  • Visualize code architecture as an interactive graph
  • Search by concept, not just keywords
  • Impact analysis: see what breaks before you change anything
  • AI-powered Q&A about any codebase
  • Auto-generated documentation and wikis

Powered by GitNexus

Built on the open-source GitNexus engine, your code is analyzed 100% in-browser using WebAssembly. Nothing is uploaded to any server — your code stays private.

Why AI Code Graph Is Worth Using

Paste code and get an interactive dependency graph showing function calls, imports, and relationships. Free code visualization tool — no signup. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, AI Code Graph is designed to shorten that path.

Most visitors use AI Code Graph because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.

How to Use AI Code Graph

Visualize your code's structure instantly:

  1. 1Paste your code (any language) into the input area.
  2. 2Click 'Generate Graph' — the AI analyzes imports, function calls, and dependencies.
  3. 3Explore the interactive visualization showing how components connect.
  4. 4Click on nodes to see details. Export the graph as an image.

Who Is AI Code Graph For?

For developers who want to understand code architecture at a glance.

New Team Members

Quickly understand a codebase's structure during onboarding.

Code Reviewers

Visualize the impact of changes across the dependency tree.

Tech Leads

Document and communicate architecture decisions with visual diagrams.

Students

Learn about software architecture by visualizing real code structures.

What a Good Result Looks Like

A strong outcome from AI Code Graph is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.

If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.

Frequently Asked Questions

What languages are supported?
JavaScript, TypeScript, Python, Java, and most languages with clear import/require patterns.
Can it analyze entire projects?
Currently analyzes single files or code snippets. Multi-file project analysis is on our roadmap.
Is the graph interactive?
Yes. Zoom, pan, and click on nodes to see function details and dependencies.
Can I export the visualization?
Yes. Export as PNG image or copy the graph data for use in other tools.

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